{"id":"https://openalex.org/W1564576351","doi":"https://doi.org/10.1109/icassp.2015.7178442","title":"Automatic target recognition using discrimination based on optimal transport","display_name":"Automatic target recognition using discrimination based on optimal transport","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1564576351","doi":"https://doi.org/10.1109/icassp.2015.7178442","mag":"1564576351"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7178442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085450626","display_name":"Ali Sadeghian","orcid":"https://orcid.org/0009-0008-2905-9790"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Sadeghian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida","University of Florida, Department of Electrical and Computer Engineering, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"University of Florida, Department of Electrical and Computer Engineering, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022768090","display_name":"Deoksu Lim","orcid":"https://orcid.org/0000-0001-9573-0441"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deoksu Lim","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida","University of Florida, Department of Electrical and Computer Engineering, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"University of Florida, Department of Electrical and Computer Engineering, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065730184","display_name":"Johan Karlsson","orcid":"https://orcid.org/0000-0001-5158-9255"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Karlsson","raw_affiliation_strings":["Department of Mathematics, KTH Royal Institute of Technology","KTH Royal Institute of Technology, Department of Mathematics, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, KTH Royal Institute of Technology","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Department of Mathematics, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100402458","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-0030-1423"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida","University of Florida, Department of Electrical and Computer Engineering, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"University of Florida, Department of Electrical and Computer Engineering, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8697,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89726542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"37","issue":null,"first_page":"2604","last_page":"2608"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9368000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9368000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.7339679598808289},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6425538063049316},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5818502902984619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5196982026100159},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47582677006721497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3800504505634308},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3786987364292145},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36630678176879883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3467056453227997},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3244253695011139},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16699939966201782},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1076347827911377}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.7339679598808289},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6425538063049316},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5818502902984619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5196982026100159},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47582677006721497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3800504505634308},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3786987364292145},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36630678176879883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3467056453227997},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3244253695011139},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16699939966201782},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1076347827911377}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2015.7178442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7178442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W85439921","https://openalex.org/W1510539975","https://openalex.org/W1585160083","https://openalex.org/W1975717126","https://openalex.org/W1981964347","https://openalex.org/W2014826353","https://openalex.org/W2040061802","https://openalex.org/W2045683607","https://openalex.org/W2049346399","https://openalex.org/W2052424080","https://openalex.org/W2057718356","https://openalex.org/W2074575703","https://openalex.org/W2102120772","https://openalex.org/W2110102169","https://openalex.org/W2121489398","https://openalex.org/W2130327601","https://openalex.org/W2151267926","https://openalex.org/W2155325587","https://openalex.org/W2159496808","https://openalex.org/W2164026645","https://openalex.org/W2166541787","https://openalex.org/W2169652966","https://openalex.org/W3104827932","https://openalex.org/W6654054400","https://openalex.org/W6669175093","https://openalex.org/W6683602070"],"related_works":["https://openalex.org/W1978591761","https://openalex.org/W4287661821","https://openalex.org/W3133864228","https://openalex.org/W2941285539","https://openalex.org/W4206698794","https://openalex.org/W3089249579","https://openalex.org/W4286749417","https://openalex.org/W3126955880","https://openalex.org/W1982132340","https://openalex.org/W1161134833"],"abstract_inverted_index":{"The":[0],"use":[1,70,81,100],"of":[2,14,55,71,82,103],"distances":[3,44,73],"based":[4,22,29,95],"on":[5,23,96],"optimal":[6],"transportation":[7,43],"has":[8],"recently":[9],"shown":[10,33],"promise":[11],"for":[12,62,74,91,110],"discrimination":[13],"power":[15],"spectra.":[16],"In":[17,64],"particular,":[18],"spectral":[19,56],"estimation":[20],"methods":[21,30],"\u21131regularization":[24],"as":[25,27,127],"well":[26],"covariance":[28],"can":[31,133],"be":[32,35,134],"to":[34,39,52,87],"robust":[36],"with":[37],"respect":[38],"such":[40],"distances.":[41],"These":[42],"provide":[45],"a":[46,101,128],"geometric":[47],"framework":[48],"where":[49,113],"geodesics":[50],"corresponds":[51],"smooth":[53],"transition":[54],"mass,":[57,120],"and":[58,121],"have":[59,117],"been":[60],"useful":[61],"tracking.":[63],"this":[65],"paper":[66],"we":[67,122],"investigate":[68],"the":[69,80,83,88,104,111,114,124],"these":[72],"automatic":[75],"target":[76],"recognition.":[77],"We":[78,99],"study":[79],"Monge-Kantorovich":[84,105],"distance":[85,106],"compared":[86],"standard":[89],"\u21132distance":[90],"classifying":[92],"civilian":[93],"vehicles":[94],"SAR":[97],"images.":[98],"version":[102],"that":[107,132],"applies":[108],"also":[109],"case":[112],"spectra":[115],"may":[116],"different":[118],"total":[119],"formulate":[123],"optimization":[125],"problem":[126,131],"minimum":[129],"flow":[130],"computed":[135],"using":[136],"efficient":[137],"algorithms.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
